{"id":"W2029842644","doi":"10.1109/icalt.2009.106","title":"Semantically-Enabled Project-Based Collaborative Learning of Software Patterns","year":2009,"lang":"en","type":"article","venue":"","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Computer science; Collaborative learning; Task (project management); Process (computing); Project-based learning; Active learning (machine learning); Software; Component (thermodynamics); Software engineering; Human–computer interaction; Multimedia; Artificial intelligence; Knowledge management; Engineering; Systems engineering; Mathematics education; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001638925,0.0001635407,0.0002265427,0.0001707587,0.000108278,0.00008561474,0.0006972628,0.00006204798,0.00002845321],"category_scores_gemma":[0.00002363502,0.0001266531,0.00005990762,0.001019673,0.00001722097,0.0002477032,0.00009455965,0.0001724945,0.00001331813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001230065,"about_ca_system_score_gemma":0.0001798689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001099137,"about_ca_topic_score_gemma":0.00007855733,"domain_scores_codex":[0.9986513,0.0001169642,0.0002550731,0.0003613198,0.0003235727,0.0002917563],"domain_scores_gemma":[0.9989666,0.0001589709,0.0001229985,0.0003937313,0.0002904681,0.00006727119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005930938,0.003492625,0.161093,0.001605372,0.0004589604,0.0003863299,0.06458129,0.03492,0.04485785,0.3407808,0.004129502,0.3431013],"study_design_scores_gemma":[0.006929175,0.006896659,0.09412318,0.001016359,0.0001201402,0.0000271686,0.004760768,0.4819521,0.3620314,0.007847122,0.03160405,0.002691888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09257143,0.00004777195,0.9001344,0.001805509,0.00009002775,0.000307811,0.000003341668,0.0004221152,0.004617577],"genre_scores_gemma":[0.9232362,0.000003745242,0.07404656,0.002521613,0.00003223223,0.000007186034,0.00000865571,0.000006813482,0.0001369773],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8306648,"threshold_uncertainty_score":0.5164765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00656173608884034,"score_gpt":0.2392716605297065,"score_spread":0.2327099244408661,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}